Name
Abstract | ||
|---|---|---|
This paper presents a visual odometry system for ground vehicles using a single downward-facing camera. Our method calculates the motion from a monocular camera without using any probabilistic (non-deterministic) or iterative routines neither for motion estimation nor for outliers rejection. Accordingly, the proposed method improves the accuracy, the certainty, and the speed of the algorithm. Our method is validated for real data sets and shows competitive accuracy and robustness with a loop closure error reaching as low as 1.25% for a run of 460 meters. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/ICAR.2013.6766475 | 2013 16TH INTERNATIONAL CONFERENCE ON ADVANCED ROBOTICS (ICAR) |
Keywords | Field | DocType |
mobile robots,image sensors,motion estimation | Computer vision,Data set,Motion field,Image sensor,Visual odometry,Computer science,Odometry,Robustness (computer science),Artificial intelligence,Probabilistic logic,Motion estimation | Conference |
Citations | PageRank | References |
2 | 0.37 | 11 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| firas abi farraj | 1 | 2 | 0.37 |
| Daniel C. Asmar | 2 | 82 | 20.11 |
| Elie A. Shammas | 3 | 131 | 18.06 |
| Imad H. Elhajj | 4 | 310 | 53.65 |